Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. VAIaS automates the updates to data, models, and applications. Combined with strong AI governance, VAIaS optimizes the performance, scalability, interpretability and reliability of AI models and services.
Requirements
- Strong programming proficiency in at least one of the following languages: Rust/C++/Go/Java
- Experience with performance optimization.
- Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Familiarity with observability tools (e.g., Prometheus, Grafana, OpenTelemetry) and cloud platforms (AWS, GCP, Azure).
- Knowledge of network programming, gRPC, Protocol Buffers, or other RPC frameworks.
- Experience working on large-scale distributed systems.
Responsibilities
- Design, build, and maintain the full lifecycle of our machine learning systems, from our low-latency inference engine to the observability platform that supports it.
- Develop and optimize high-performance, mission-critical services using languages like Rust, Python, and Go.
- Enhance the reliability and visibility of our MLOps ecosystem by building and scaling solutions for monitoring, logging, and tracing.
- Collaborate closely with data scientists and ML engineers to deploy, scale, and troubleshoot machine learning models in production.
- Write clean, high-quality, and well-tested code, and participate in code reviews to raise the bar for the entire team.
- Diagnose and resolve performance bottlenecks and system failures in our production environment.
Other
- This is a hybrid position based in Austin, TX, allowing alternating between remote and office work.
- Expectations are to be in-office at least three days a week, aiming for a 50% office presence based on business requirements.
- A strong desire to learn and a passion for building impactful, high-performance systems.
